code: def test_function_transformer_get_feature_names_out_without_validation():
      transformer = FunctionTransformer(
          feature_names_out="one-to-one", validate=False
      )
      X = np.random.rand(100, 2)
      transformer.fit_transform(X)
  
      names = transformer.get_feature_names_out(("a", "b"))
      assert isinstance(names, np.ndarray)
      assert names.dtype == object
      assert_array_equal(names, ("a", "b"))
  
imports: import warnings
  import numpy
  import pytest
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import FunctionTransformer
  from sklearn.utils._testing import _convert_container, assert_allclose_dense_sparse, assert_array_equal
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS
label_desc: Use image node_id 15 for calling a global function with example usage: test_function_transformer_get_feature_names_out_without_validation() without return types